Dean Wyatte
Cognitive Neuroscience · 2012–2013
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 59 citations into it; #10,313 of 10,852 by trust here, #6,526 by citations
- Neuroscience — 14 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Dean Wyatte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Randall C. O’Reilly
- Karl J. Friston
- Roger Ratcliff
- Maximilian Riesenhuber
- Timothée Masquelier
- Thomas Serre
- Tomaso A. Poggio
- Simon J. Thorpe
- Yoav Benjamini
- Yuko Munakata
Who trusts Dean Wyatte overall
- J. Urgen Schmidhuber
- Randall C. O’Reilly
- Nikolaus Kriegeskorte
- Marijn F. Stollenga
- Abhinav Shrivastava
Papers from Dean Wyatte's perspective
Ordered by how strongly the researchers Dean Wyatte trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Hierarchical models of object recognition in cortex
- This PDF file includes: Materials and Methods
- Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
- Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Their papers
- Recurrent Processing during Object Recognition (2013) — 179 citations
- The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded (2012) — 124 citations